Behnaz Hosseinnia, N. Khakzad, R. Patriarca, N. Paltrinieri
{"title":"Modeling Risk Influencing Factors of Hydrocarbon Release Accidents in Maintenance Operations using FRAM","authors":"Behnaz Hosseinnia, N. Khakzad, R. Patriarca, N. Paltrinieri","doi":"10.1109/ICSRS48664.2019.8987694","DOIUrl":null,"url":null,"abstract":"Maintenance operations are mainly aimed at avoiding and reducing the leakages in petroleum facilities, there is a high risk of hydrocarbon release during maintenance operation. Maintenance is a socio-technical process, consisting of several human, technical and organizational factors, each with a potential to affect the risk of hydrocarbon release. This paper describes the idea of how a Functional Resonance Analysis Method (FRAM) can facilitate the modeling and assessing the risks arising from dynamic interactions in maintenance operations. A generic FRAM model is first developed for the maintenance operations, and a Resilience Analysis Matrix (RAM) approach is then used as a supportive tool for systematic assessment and evaluation of the most critical Risk Influencing Factors (RIFs) together with the FRAM model.","PeriodicalId":430931,"journal":{"name":"2019 4th International Conference on System Reliability and Safety (ICSRS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on System Reliability and Safety (ICSRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSRS48664.2019.8987694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Maintenance operations are mainly aimed at avoiding and reducing the leakages in petroleum facilities, there is a high risk of hydrocarbon release during maintenance operation. Maintenance is a socio-technical process, consisting of several human, technical and organizational factors, each with a potential to affect the risk of hydrocarbon release. This paper describes the idea of how a Functional Resonance Analysis Method (FRAM) can facilitate the modeling and assessing the risks arising from dynamic interactions in maintenance operations. A generic FRAM model is first developed for the maintenance operations, and a Resilience Analysis Matrix (RAM) approach is then used as a supportive tool for systematic assessment and evaluation of the most critical Risk Influencing Factors (RIFs) together with the FRAM model.
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